Computing Application of Classifiers for Marketing Data Mine : Concepts, Techniques and Algorithms

Sant Sharan Mishra

ISBN 10: 3844310452 / ISBN 13: 9783844310450

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Computing of data patterns is one of hottest trends of learning in the domain of marketing management. It aims to present computing application of classifiers which are employed in surfing and analyzing the marketing data mine. It is meant to explore the useful basic concepts and techniques of marketing data mine and their algorithms in order to efficiently search the informative results connected with their data patterns. The book offers the following special features: -Self-expository and simple to follow -Specialized in marketing data mine with applications -Computing algorithms of high predictive performance -Algorithmic compatibility with canned packages and scientific programming languages -Deciphering intangible aspect of topics by putting 'remark' Readership: Researchers, graduate and undergraduate learners in mathematical sciences, information & computer science and management.

Seller Inventory # 9783844310450

Bibliographic Details

• Title: Computing Application of Classifiers for Marketing Data Mine : Concepts, Techniques and Algorithms
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3844310452
• ISBN 13: 9783844310450
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 137 grams

About this title

Synopsis

Computing of data patterns is one of hottest trends of learning in the domain of marketing management. It aims to present computing application of classifiers which are employed in surfing and analyzing the marketing data mine. It is meant to explore the useful basic concepts and techniques of marketing data mine and their algorithms in order to efficiently search the informative results connected with their data patterns. The book offers the following special features: •Self-expository and simple to follow •Specialized in marketing data mine with applications •Computing algorithms of high predictive performance •Algorithmic compatibility with canned packages and scientific programming languages •Deciphering intangible aspect of topics by putting ‘remark' Readership: Researchers, graduate and undergraduate learners in mathematical sciences, information & computer science and management

About the Author

M.Sc. Maths(Stat) Ph.D.(Maths) D.Sc.(OR) a core faculty at Avadh Univ.FZD India,Res.pub.55,Copy Right 03 Int.Exp.European/American-Univ.(18yr teach.exp.India/ Foreign) ,Best Res.Paper Award by DGBA&Univ Maryland ES(USA) Memb&MathReviewer,AMS(USA)